Traditional Chinese Medicine (TCM) synonym recognition based on BERT

Chuanjie Xu; Feng Yuan; Shouqiang Chen; Bing Wang

doi:10.1117/12.3005066

9 October 2023 Traditional Chinese Medicine (TCM) synonym recognition based on BERT

Chuanjie Xu, Feng Yuan, Shouqiang Chen, Bing Wang

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 1279117 (2023) https://doi.org/10.1117/12.3005066
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

The research of TCM informatization is usually based on the text of the patient's symptoms. TCM physicians use synonyms to describe a patient's symptoms, which can cause data redundancy in the patient's symptom text. Therefore, in the process of TCM informatization, it is first necessary to process the TCM text and standardize the synonyms in the symptom text. In this paper, a synonym set is constructed based on the symptom text of patients, and the ED-BERT model is proposed for the normalization of symptom texts in traditional Chinese medicine, which lays a foundation for the follow-up research of traditional Chinese medicine informatization. The accuracy of the proposed model for TCM synonym recognition reaches 0.8613, which has advanced advantages over traditional methods.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chuanjie Xu, Feng Yuan, Shouqiang Chen, and Bing Wang "Traditional Chinese Medicine (TCM) synonym recognition based on BERT", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 1279117 (9 October 2023); https://doi.org/10.1117/12.3005066

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Medicine

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